Reviews in Physics (Dec 2021)
Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
- Anna Stakia,
- Tommaso Dorigo,
- Giovanni Banelli,
- Daniela Bortoletto,
- Alessandro Casa,
- Pablo de Castro,
- Christophe Delaere,
- Julien Donini,
- Livio Finos,
- Michele Gallinaro,
- Andrea Giammanco,
- Alexander Held,
- Fabricio Jiménez Morales,
- Grzegorz Kotkowski,
- Seng Pei Liew,
- Fabio Maltoni,
- Giovanna Menardi,
- Ioanna Papavergou,
- Alessia Saggio,
- Bruno Scarpa,
- Giles C. Strong,
- Cecilia Tosciri,
- João Varela,
- Pietro Vischia,
- Andreas Weiler
Affiliations
- Anna Stakia
- European Organization for Nuclear Research (CERN), Geneva, Switzerland; Institute of Nuclear and Particle Physics, National Centre for Scientific Research ‘Demokritos’, Athens, Greece
- Tommaso Dorigo
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Italy; Corresponding author.
- Giovanni Banelli
- Physics Department, Technical University of Munich, Garching, Germany
- Daniela Bortoletto
- Department of Physics, University of Oxford, UK
- Alessandro Casa
- Department of Statistical Sciences, University of Padova, Italy; School of Mathematics and Statistics, University College Dublin, Ireland
- Pablo de Castro
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Italy; Department of Physics, University of Padova, Italy
- Christophe Delaere
- Centre for Cosmology, Particle Physics and Phenomenology (CP3), Université catholique de Louvain, Louvain-la-Neuve, Belgium
- Julien Donini
- Laboratoire de Physique de Clermont, Université Clermont Auvergne, IN2P3/CNRS, Clermont-Ferrand, France
- Livio Finos
- Department of Developmental Psychology and Socialization, University of Padova, Italy
- Michele Gallinaro
- Laboratório de Instrumentação e Física Experimental de Partículas, LIP Lisbon, Portugal
- Andrea Giammanco
- Centre for Cosmology, Particle Physics and Phenomenology (CP3), Université catholique de Louvain, Louvain-la-Neuve, Belgium
- Alexander Held
- European Organization for Nuclear Research (CERN), Geneva, Switzerland; Department of Physics, University of British Columbia, Canada; Department of Physics, New York University, USA
- Fabricio Jiménez Morales
- Laboratoire de Physique de Clermont, Université Clermont Auvergne, IN2P3/CNRS, Clermont-Ferrand, France; Laboratoire Leprince-Ringuet, CNRS, École polytechnique, Institut Polytechnique de Paris, Palaiseau, France
- Grzegorz Kotkowski
- Department of Statistical Sciences, University of Padova, Italy
- Seng Pei Liew
- Physics Department, Technical University of Munich, Garching, Germany
- Fabio Maltoni
- Centre for Cosmology, Particle Physics and Phenomenology (CP3), Université catholique de Louvain, Louvain-la-Neuve, Belgium
- Giovanna Menardi
- Department of Statistical Sciences, University of Padova, Italy
- Ioanna Papavergou
- Department of Physics, National and Kapodistrian University of Athens, Greece
- Alessia Saggio
- Centre for Cosmology, Particle Physics and Phenomenology (CP3), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Deutsches Elektronen-Synchrotron (DESY), Hamburg, Germany
- Bruno Scarpa
- Department of Statistical Sciences, University of Padova, Italy; Department of Mathematics, University of Padova, Italy
- Giles C. Strong
- Laboratório de Instrumentação e Física Experimental de Partículas, LIP Lisbon, Portugal; Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Italy; Department of Physics, University of Padova, Italy
- Cecilia Tosciri
- Department of Physics, University of Oxford, UK; Department of Physics, University of Chicago, USA
- João Varela
- Laboratório de Instrumentação e Física Experimental de Partículas, LIP Lisbon, Portugal
- Pietro Vischia
- Laboratório de Instrumentação e Física Experimental de Partículas, LIP Lisbon, Portugal; Department of Physics, Universidad de Oviedo, Spain; Centre for Cosmology, Particle Physics and Phenomenology (CP3), Université catholique de Louvain, Louvain-la-Neuve, Belgium
- Andreas Weiler
- Physics Department, Technical University of Munich, Garching, Germany
- Journal volume & issue
-
Vol. 7
p. 100063
Abstract
Between the years 2015 and 2019, members of the Horizon 2020-funded Innovative Training Network named “AMVA4NewPhysics” studied the customization and application of advanced multivariate analysis methods and statistical learning tools to high-energy physics problems, as well as developed entirely new ones. Many of those methods were successfully used to improve the sensitivity of data analyses performed by the ATLAS and CMS experiments at the CERN Large Hadron Collider; several others, still in the testing phase, promise to further improve the precision of measurements of fundamental physics parameters and the reach of searches for new phenomena. In this paper, the most relevant new tools, among those studied and developed, are presented along with the evaluation of their performances.
